code: def setUp(self):
      self.base_config = EasyDict(
          {
              "dataset": {
                  "dir": "",
                  "split": "train",
                  "image_preprocessing": {
                      "min_size": 600,
                      "max_size": 1024,
                  },
                  "data_augmentation": {},
              },
              "train": {
                  "num_epochs": 1,
                  "batch_size": 1,
                  "random_shuffle": False,
                  "seed": None,
              },
          }
      )
      tf.reset_default_graph()
  
file_path: luminoth/luminoth/datasets/object_detection_dataset_test.py
imports: import tensorflow
  import numpy
  from easydict import EasyDict
  from luminoth.datasets.object_detection_dataset import ObjectDetectionDataset
label_desc: Use image node_id 1 for calling the ObjectDetectionDatasetTest obj's underlying member method code with example usage: obj.setUp() without return types